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Forward-looking radar imaging sea-surface target key point detection and recognition method

A radar imaging and recognition method technology, applied in the field of target detection and pattern recognition

Active Publication Date: 2014-08-06
HUAZHONG UNIV OF SCI & TECH
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  • Claims
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Problems solved by technology

[0004] Aiming at the problem of target extraction in complex environments, the present invention proposes a method for detecting and identifying key points of forward-looking radar imaging sea surface targets, which specifically includes:

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  • Forward-looking radar imaging sea-surface target key point detection and recognition method

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Embodiment Construction

[0082] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0083] The purpose of the present invention is to suppress interference factors such as artifacts and side lobes while retaining the inherent characteristics of the target, and improve the recognition accuracy and positioning accuracy of key points of radar imaging sea surface targets. However, in the forward-looking radar echo, a strong echo signal means that the detector has searched for a str...

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Abstract

The invention discloses a forward-looking radar imaging sea-surface target key point detection and recognition method. The method includes the steps that radar echo data are quantized into a gray scale image; a region of interest is extracted from the gray scale image, partition is performed, and a target region partition image is obtained; the radar echo data and the region of interest of the image are used, and a target region peak point information matrix is obtained; information merging is conducted on the target region partition image and the target region peak point information matrix, the number K of peak points in a target region in a merging result is obtained through counting, the previous K peak points are selected and serve as target effective peak points and form a target effective peak point image in a binaryzation mode, target axial features are extracted, and a target position is determined; the center of gravity of target energy is calculated and serves as the target key point. According to forward-looking radar target features, multiple mode identification methods are used comprehensively, the inherent features of a target can be reserved, meanwhile interference factors such as artifacts and side lobes can be restrained, and the recognition accuracy and the positioning precision of radar imaging sea surface target key points are improved.

Description

technical field [0001] The invention belongs to the technical field of target detection and pattern recognition, and in particular relates to a method for detecting and identifying key points of forward-looking radar imaging sea surface targets. The recognition accuracy and positioning accuracy of key points of radar imaging sea surface targets. Background technique [0002] Ship target detection and recognition using radar imaging technology is a key technology in many civil and military fields, and has a wide range of applications in monitoring, military and other fields. In the forward-looking radar echo, a strong echo signal means that the detector has searched for a strong scattering point there. Strong scattering points are usually caused by dihedral reflectors and corner reflectors in ship targets. These reflective components are distributed on the entire ship target, showing different strengths with different target azimuth angles. However, conventional radars tra...

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Application Information

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IPC IPC(8): G06K9/62G06K9/54
Inventor 杨卫东张洁邹腊梅毕立人李静桑农严航宇桂文军
Owner HUAZHONG UNIV OF SCI & TECH
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